AI Adoption and the Insurance Industry: Breaking Through the Barriers

Webinar
AI Adoption and the Insurance Industry

Advanced analytics is paramount to the success of any modern insurance organization. Today’s insurance professionals are interested in AI and machine learning but are unfamiliar with these new technologies and how to leverage the teams they currently have in place to harness the full potential that AI offers. Actuaries, data analysts, and other insurance professionals now have the ability to reduce fraudulent claims, predict underwriting risks, improve customer relationship management, and more with the insights automated machine learning provides.

Many of the largest major insurance companies around the world are using automated machine learning to transform into AI-driven organizations. In this webinar learn how insurers are increasingly relying on machine learning to improve efficiency and dramatically increase ROI.

AI Adoption and the Insurance Industry

During the webinar, Neal will:

  • Provide an overview of Automated Machine Learning
  • Discuss the most common use cases across the insurance industry
  • Offer a demo of DataRobot with a Q&A session
  • Give a deep dive into the various roles adopting AI within insurance companies and how to democratize AI

Speakers

Neal Silbert
Neal Silbert

General Manager of Insurance, DataRobot

  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely -- it's almost like magic!
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • DataRobot allows us to understand the data that’s being fed into our models without blindly feeding whatever we get into our system. DataRobot makes my team very effective.
    Deena Narayanaswamy
    Deena Narayanaswamy

    Head of Data Insights, Avant

  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
    Evariant